International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 03 Issue: 11 | Nov -2016
p-ISSN: 2395-0072
www.irjet.net
Prioritization of suppliers using a fuzzy TOPSIS in the context of E- Manufacturing 1Professor,Dept.of
Dr.A.Ramarao1
mechanical engineering, RISE prakasam engineering college, Ongole, A.P, India
---------------------------------------------------------------------***--------------------------------------------------------------------1.1 Supplier selection-criteria Abstract - E-Manufacturing is a transformation system that enables the manufacturing operations to achieve predictive near-zero-downtime performance as well as to synchronize with the business systems through the use of web-enabled and tether-free technologies. As E-manufacturing is different from traditional manufacturing by its characteristics; the supplier selection methods as well as criteria to be considered are to be reviewed. In today’s competitive environment it is impossible to successfully produce low cost, high quality products with out satisfactory vendors. In supplier selection decisions two issues are of particular significance. One is what criteria should be used and other, what methods can be used to compare suppliers. There is a little consideration on Supply Chains (SC) in e-manufacturing and particularly suppliers are needed to be identified and networked. Hence the primary goal of the present research is to find the best supplier, to evaluate the suitable criteria to be considered and which method can be adopted for supplier evaluation in the context of emanufacturing with respect to material classification. Thus at the beginning, all the needed materials and services used by the organization were identified and categorized with regard to their nature by ABC method. Afterwards, in order to reduce risk factors and maximize the organization's profit, purchase strategies are to be determined. Then, appropriate criteria are to be identified for primary evaluation of suppliers required to the organization in the context of E-manufacturing.
Traditionally organizations have been divided in operative functions such as production, planning, purchasing, marketing etc., in which supply chain is a strategy that integrates these functions, and also involved in manufacturing of a product from the procurement of raw materials to the distribution of final products to the clients. Hence in today’s competitive environment it is impossible to successfully produce low cost, high quality product without satisfactory vendors, Weber et al, (1991). In supplier selection decisions two issues are of particular significance. One is what criteria should be used and other, what methods can be used to compare suppliers. Weber (1991) pointed that supplier selection decisions were complicated by the fact that various criteria must be considered. Meanwhile, different approaches could be employed to make the selection. Weber et al. reviewed and classified 74 related articles which had appeared since 1966. Due to the economic globalization and with the development of global logistics, geographical location is no longer a major criterion in supplier selection, Weber et al, (1991).
1.2 Supplier selection under fuzzy environment A key and perhaps the most important process of the purchasing function is the efficient selection of vendors, because it brings significant savings for the organization .While the traditional vendor evaluation methods primarily considered financial measures in the decision making process, more recent emphasis on manufacturing strategies such as just-in-time (JIT) has placed increasing importance on the incorporation of multiple vendor criteria into evaluation process. The decision makers (DMs) always express their preferences on the alternatives or on the attributes of suppliers, which can be used to help rank the suppliers or select the most desirable one in the context of Emanufacturing. Consequently, we consider supplier selection as a multiple-attribute decision-making (MADM) problem.
Key Words: E-manufacturing, Supply Chain, ABC method, SSG (Statistical Source Group), Triangular fuzzy number.
1.INTRODUCTION E-Manufacturing is a business strategy as well as a core competency for companies to compete in today’s ebusiness environment. It is aimed to complete integration of all the elements of a business including suppliers, customer service network, manufacturing enterprise, and plant floor assets with connectivity and intelligence brought by the web-enabled and tether-free technologies and intelligent computing to meet the demands of e-business/e-commerce practices that gained great acceptance and momentum over the last decade. E-manufacturing integrates information and decision-making among data flow (of machine/process level), information flow (of factory and supply system level), and cash flow (of business system level).
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DM’s judgments are often uncertain and cannot be estimated by an exact numerical value. Fuzzy Set Theory presents a framework for modeling the supplier selection problem in an uncertainty environment. In this theory, linguistic variables are used instead of crisp values. FST can be combined with other techniques to improve the quality of the final tools.
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